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Early-onset colorectal cancer (eoCRC) is increasing globally, raising interest in modifiable dietary exposures that may contribute to its development. High fructose intake, particularly from sugar-sweetened beverages and high-fructose corn syrup, has been associated with colorectal neoplasia and eoCRC in epidemiologic studies. Experimental evidence suggests that fructose may promote colorectal tumorigenesis through enhanced uptake and metabolism, polyol pathway activation, glycolytic and lipogenic reprogramming, hypoxic adaptation, and interactions with the tumor microenvironment. Excess fructose reaching the colon may also impair intestinal barrier integrity and alter gut microbial composition and metabolite production. Preclinical models support a direct tumor-promoting effect of fructose independent of obesity, whereas human mechanistic and microbiome data remain limited. This review summarizes current evidence linking fructose exposure with eoCRC and discusses emerging metabolic, microbial, and translational implications, while highlighting key gaps that must be addressed to establish causality and clinical relevance.

e15060 Background: In metastatic Breast Cancer (mBC) Circulating Tumor Cells (CTCs) are an established prognostic indicator of patients (pts) with highly aggressive disease, poor clinical outcomes, and poor response rates to therapy. However, CTCs are typically found in < 20% of mBC pts and many pts without CTCs also progress. Cancer associated macrophage-like cells (CAMLs) are inflammatory tumor macrophages also found in blood, in > 90% of mBC, and are indicators of poor clinical outcomes independent of CTCs. We conducted a prospective study to model CTC & CAML subtypes from 212 mBC pt blood samples prior to induction of new systemic therapies to optimize and validate risk models based on 2-year outcomes of Progression-free survival (PFS) & Overall survival (OS). Methods: An observational multi-institutional prospective study was conducted on 212 mBC pts prior to induction of a new line of therapy who were progressing on their current therapy. Anonymized (7.5ml) whole blood samples were taken prior to therapy induction and filtered by CellSieve filtration. Quantities and subtypes of CTCs & CAMLs were categorized by their expression of CK+/CD45+/CD14+ for CAMLs and CK+/CD45-/CD14- for CTCs. PFS (RECIST v1.1) and OS hazard ratios (HRs) were calculated by censored univariate & multivariate analysis at 2 years. Results: Pt median age was 51 years (range 25-92); TNBC (44%), ER/PR+ (30%), HER2+ (15%). Pts were treated with chemotherapy alone (18%), immune checkpoint inhibitor (46%), targeted (40%), hormone (8%) and unknown (5%). 38% (81/212) pts had ≥1 CTCs which correlated with significantly poorer PFS (HR = 1.9; 95%CI 1.3-2.7; p = 0.0016) and OS (HR = 2.0; 95%CI, 1.3-3.0; p = 00025), with the most significant risk at ≥8 CTCs (14% pts), PFS (HR = 3.8; 95%CI, 2.1-6.9; p < 0.0001) and OS (HR = 7.2; 95% CI, 3.4-14.9; p < 0.0001). Independently, 93% (n = 196/212) of pts had ≥1 CAML, with a threshold of >40um size (84% pts) had significantly poorer PFS (HR = 2.0; 95% CI, 1.2-3.1; p = 0.0032), but not OS (HR = 1.5; 95%CI, 0.9-2.7; p = 0.1169). However, a threshold of >125um size CAML (43% pts) also had significantly poorer PFS (HR = 1.8; 95% CI, 1.2-2.7; p = 0.0013) and OS (HR = 1.6; 95% CI, 1.0-2.5; p = 0.0233). By combining models, the best outcomes were seen in pts with 0 CTCs & 0 CAMLs (mPFS = 12.6 & mOS = 21.3), followed by 0 CTCs & ≥40um CAMLs (mPFS = 5.2 & mOS = 17.5) and 0 CTCs & ≥125um CAMLs (mPFS = 4.9 & mOS = 15.2). Poorer outcomes were seen with ≥1 CTCs (mPFS = 3.3 & mOS = 13.5) and the worst outcomes with ≥8 CTCs (mPFS = 2.5 & mOS = 4.8). Conclusions: CTCs were uncommon in mBC pts but correlated with very poor clinical outcomes. In parallel analysis, CAMLs were common with CAML size correlating with increasingly poorer outcomes. By combining CTC & CAML subtypes, mBC pts were more accurately stratified by risk of progression and death. Additional multivariate studies correlating treatment class and tumor response rates are ongoing.

564 Background: HER2+ ILC is rare (~5% of ILC), with limited data on long-term adjuvant trastuzumab outcomes. We investigated late recurrence and immune landscapes of HER2+ ILC vs invasive ductal carcinoma (IDC) in the phase III NCCTG N9831 trial (NCT00005970) and a real-world cohort. Methods: We evaluated 3304 early-stage HER2+ breast cancer patients (pts) enrolled in N9831 (122 ILC, 3182 IDC). Recurrence-free survival (RFS) and overall survival (OS) were estimated (Kaplan-Meier) and compared using multivariable Cox regression adjusting for age, tumor size, grade, hormone receptor (HR), and nodal status. Findings were validated in a real-world cohort of HER2+ pts (Caris Life Sciences CODEai platform). Immune microenvironments were profiled by WTS deconvolution (Quantiseq). Real-world overall survival was calculated from trastuzumab start to last contact. Results: In N9831, ILC pts were older (median 54 vs 49 y), more ER+ (74.6% vs 51.4%), and had more N3 disease (25.4% vs 12.7%) compared to IDC. ILC pts derived a comparable magnitude of benefit from adjuvant trastuzumab compared to the overall population (HR 0.58 vs 0.67). However, long-term outcomes diverged: while the 5-year RFS was similar (77.1% vs 82.7%), ILC pts experienced a steep decline between years 5-15 (77.1% to 57.7%; ~20% decline) vs IDC (82.7% to 72.7%; ~10% decline) after multivariable Cox analysis (Table). In the real-world early/advanced cohort (n=1328; 26 ILC vs 1302 non-ILC [subset IDC n=595]) treated with trastuzumab-based therapy, ILC pts had worse mOS (33.7 vs 68.6 m, HR 2.01, 95%CI 1.00-4.07, p=0.04) compared to non-ILC. However, there was no statistically significant difference when compared specifically to IDC (HR 1.77, 95% CI 0.87-3.61, p=0.11). ILC had: i) numerically lower tumor mutation burden (TMB)-high (4.2% vs 9.5%, p=0.38); ii) higher infiltration of B cells, Tregs, and M2 macrophages (p<0.05); iii) upregulated MHC class II expression (HLA-DOA, p<0.05); and iv) downregulated proliferative and DNA repair pathways (E2F, G2M, MYC; FDR <0.25) compared to non-ILC. Conclusions: HER2+ ILC carries late recurrence risk despite initial trastuzumab benefit. The unique immune landscape (Treg/M2 macrophage enrichment and lower proliferative signatures) distinguishes HER2+ ILC from IDC, highlighting the need for tailored strategies. Long-term RFS and OS in HER2-positive ILC vs IDC (N9831 trial). Population N 5-year% (95% CI) 10-year% (95% CI) 15-year% (95% CI) ILC 122 RFS 77.13% (69.9, 85.1) OS 84.04% (77.7, 90.9) RFS 70.57% (62.7, 79.4) OS 76.0% (68.7, 84.2) RFS 57.67% (44.2, 75.1) OS 65.22% (56.6, 75.2) IDC 3182 RFS 82.71% (81.4, 84.1) OS 90.18% (89.1, 91.2) RFS 77.45% (75.9, 78.9) OS 81.81% (80.4, 83.2) RFS 72.68% (70.77, 74.6) OS 76.68% (75, 78.4)

1591 Background: The 21-gene OncotypeDX (ODX) recurrence score (RS) is the standard for chemotherapy decision-making in HR+/HER2- early breast cancer (EBC), but cost limits accessibility in resource-constrained settings. The Magee equations (MEs) use routine pathology features (Nottingham grade and IHC; ER/PR/HER2/Ki-67) to estimate RS. We performed a meta-analysis to validate MEs performance as a triage tool for ODX testing and a qualitative synthesis to identify sources of discordance, highlighting the transition toward objective digital pathology AI models. Methods: A systematic review identified validation studies comparing MEs with RS in HR+ EBC. Studies with sufficient data to construct a 2X2 contingency table were included; neoadjuvant trials were excluded. Primary outcomes were Negative Predictive Value (NPV) for identifying low-risk cases (RS <26 for the current TAILORx cutoff and RS<31 for the historical cutoff) and ODX test sparing rate (TSR). Data were pooled using random-effects models. Qualitative themes regarding interpretation variability were extracted from study results and discussion sections. Results: Thirteen studies met the inclusion criteria, representing 5396 patients in global cohorts from the USA, Mexico, Colombia, Jordan, France, Belgium, and Canada. For RS >26, Magee <18 achieved pooled NPV of 0.96 (95% CI: 0.94-0.97) and TSR 61% (95% CI:51%-69%). For RS >31, NPV increased to 0.99 (95% CI: 0.97-1.00) and TSR 52% (95% CI: 44%-59%). Pooled diagnostic performance for Magee <18 predicting RS <26 demonstrated 83% sensitivity and 71% specificity (AUC 0.81, LR+:2.53, LR-:0.28). Qualitative analysis of discordance identified: (1) Inter-observer variability: Nottingham mitotic counts and Ki-67 scoring were the primary drivers of score fluctuations. (2) IHC quantification: Variations in H-score calculation and Allred-to-H-score conversion introduced heterogeneity (3) Pre-analytical and biological factors: Inflammation and stromal proliferation occasionally inflated genomic RS; selection of non-representative blocks and intratumor heterogeneity further contributed to discordance (4) Technological solutions: Digital pathology and AI models emerge as solutions to standardize these variables. Conclusions: Magee-based triage provides a safe and cost-effective strategy for HR+ EBC risk stratification, with NPV up to 99% for excluding high-risk disease and sparing up to 61% of ODX testing. These results confirm a robust histopathological signal. Transitioning to objective digital pathomics provides a pathway to reduce manual subjectivity and democratize precision oncology globally. Pooled diagnostic accuracy of Magee equations by cutoff. Magee score and RS cutoff Number of studies Total patients Pooled NPV (95% CI) ODX test sparing rate (95% CI) Magee <18/ RS>26 8 4153 0.96 (0.94-0.97) 61% (51%-69%) Magee <18/ RS>31 5 1243 0.99 (0.97-1.00) 52% (44%-59%)

12122 Background: Aromatase Inhibitors (AI) have become the standard of care to reduce breast cancer recurrence in hormone receptor-positive (HR+) breast cancer patients. AIs have been shown to be effective in reducing the risk of breast cancer recurrence by 47%. However, up to 52% of patients prematurely discontinue their use due to AI-associated musculoskeletal pain symptoms called Aromatase Inhibitor-associated musculoskeletal pain syndrome (AIMSS). No effective treatment exists to treat AIMSS. The present study examined the effectiveness of a multicomponent pain treatment program in reducing symptoms of AIMSS with the goal of improving adherence to AI medication. Methods: This trial enrolled breast cancer survivors with AIMSS in an intensive multicomponent pain treatment program. Pain, impact on functioning, fatigue, and mood were assessed with the Brief Pain Inventory, Center for Epidemiologic Studies of Depression- Revised Questionnaire, Pain Catastrophizing Scale, Symptom Impact Questionnaire Revised, and Fatigue Questionnaire at baseline, 3-month, 6-month, 9-month, and 12-month intervals. Adherence to AI medication was obtained from patients’ self-reports. The treatment program consisted of a two-day structured intervention focused on Cognitive-Behavioral skills to address strategies to improve pain control, fatigue, sleep disturbance, and stress while educating patients on the efficacy of Aromatase Inhibitors in prolonging cancer-free survival. Results: A total of 73 patients were enrolled, with a median age of 63 years (range 31-79). Participants were primarily white, married, and highly educated. The measures showed elevated levels of pain, fatigue, and psychological distress at baseline with decrements in self-reported levels of functioning. Significant improvements across all measures were observed at the 3-month follow-up after participation in the multicomponent pain treatment program. Significant improvements in painrelated outcomes were observed at 3 months (WPI Δ −1.6; SS Δ −4.0; both p < 0.001), with sustained reductions in symptom severity through 6-month, 9-month, and 12-month follow-up. Self-report of AI medication adherence at one year showed that 77.9% of patients were still taking their prescribed medication. Conclusions: Patients with AIMSS experienced substantial emotional distress, pain, fatigue, and functional impairment at baseline. Following the intervention, significant improvements were observed across pain, physical functioning, fatigue, and psychological distress, with benefits sustained at one year. Importantly, the intervention was associated with high long-term adherence at one-year follow-up, highlighting its potential to improve both quality of life and treatment persistence.

Triple-negative breast cancer (TNBC) represents a biologically aggressive subtype with limited therapeutic targets; however, tumor-infiltrating lymphocytes (TILs) have emerged as the most robust immune biomarker with compelling prognostic and predictive significance. This comprehensive review synthesizes current evidence on TIL assessment methodology; the immunobiological landscape of TNBC, including regulatory T cell populations and PD-L1 correlations; gene expression underpinnings of the tumor immune microenvironment; and systematic evidence from meta-analyses and clinical trials. Meta-analytic estimates demonstrate that high TIL levels are associated with improved overall survival (HR 0.58, 95% CI 0.48–0.71) and disease-free survival (HR 0.66, 95% CI 0.57–0.76), with each 10% TIL increment conferring incremental benefit. High TILs predict superior pathologic complete response to neoadjuvant chemotherapy (OR 2.14, 95% CI 1.43–3.19), with lymphocyte-predominant breast cancer achieving pCR rates exceeding 80% with pembrolizumab-based chemoimmunotherapy. Future directions include prospective TIL-guided treatment trials, artificial intelligence-enabled standardization, and emerging adoptive TIL cellular therapies for metastatic disease.

Abstract Circulating tumor DNA (ctDNA)-based minimal residual disease (MRD) detection is a paradigm shift for risk stratification in early-stage breast cancer (eBC) surveillance. While the prognostic signal is clear, comprehensive synthesis across molecular subtypes remains limited, hindering the translation of prognostic findings into actionable, intervention-guided trials. We conducted a systematic review and meta-analysis following PROSPERO registration (CRD420251122005). Databases including PubMed/MEDLINE, Embase, and Cochrane CENTRAL were searched through September 2025. Studies involving eBC (stage I-III) patients with ctDNA-based MRD detection using validated assays, survival outcomes, and ≥12 months follow-up were included. Random-effects meta-analysis assessed the pooled hazard ratio (HR) for disease recurrence. Subgroup analyses explicitly evaluated molecular subtypes (TNBC, HER2+, HR+/HER2-) based on detection performance and gene mutation profiles. From 1,246 records, 59 studies were included, encompassing 12,847 eBC patients. Meta-analysis demonstrated an extreme prognostic value of disease-free survival from 26 studies with a pooled HR of 9.95 (95% CI: 6.50-15.25, p&lt;0.0001). High heterogeneity was observed (I2=67.2%), largely driven by differences in tumor biology and assay technology. Subtype-specific analysis highlighted distinct shedding rates: TNBC showed the highest baseline detection (80−83.8%) and sensitivity (85−90%). HR+/HER2-showed the lowest baseline detection (14.6−30%). Gene mutation analysis revealed actionability: TP53 predominated in TNBC, while PIK3CA, ESR1, and AKT1 mutations were more frequent in HR+/HER2- disease. Crucially, the time from ctDNA detection to clinical recurrence provided a consistent median lead time of 10.2 months (range 7.5−16months), with cases detected up to 68 months prior. Specificity exceeded 95% across all subtypes. This meta-analysis establishes ctDNA-based MRD detection as a clinically valid biomarker with a nearly 10-fold increased recurrence riskin ctDNA-positive patients. The high heterogeneity underscores the necessity of tailored, subtype-specific surveillance protocols and selection of ultra-sensitive assays. The consistent ∼10-month lead time defines a critical intervention window, providing a clear rationale for ongoing and future randomized clinical trials evaluating ctDNA-guided therapeutic intensification against the distinct molecular profiles observed in each breast cancer subtype. Citation Format: Panuch Eiamprapaporn, Thiti Susiriwatananont, Yaohua Ma, Hataiwan Ratanabunjerdkul, Panchanin Patanayindee, Lucksika Wanichtanom, E. Aubrey Thompson, Saranya Chumsri. Prognostic utility of minimal residual disease detection using circulating tumor DNA in early-stage breast cancer: A systematic review and meta-analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5380.

Abstract Background: MHC class II molecules are normally restricted to professional antigen-presenting cells. Prior TNBC studies have focused on immune-compartment MHC-II. Using spatial transcriptomics, we recently identified aberrant tumor-cell MHC-II expression. Here, we characterized the immune architecture surrounding HLA-DRA-expressing tumor cells. Methods: High-plex single-cell spatial transcriptomics (CosMxTM SMI) was performed on treatment-naïve TNBC (Mayo TMA, n=65) and two neoadjuvant pembrolizumab cohorts (Mayo n=8; Emory n=4). Spatial neighborhoods were mapped relative to HLA-DRA-high tumor cells. Differential expression and adaptive immune gene-set scores were evaluated. Clinical relevance was assessed using FinXX (n=114), I-SPY2 (n=364), and Caris CODEai (n=3,662). Results: HLA-DRA-high tumor regions showed significant enrichment of adaptive immune subsets within ≤50 μm, including B cells, CD8+ T cells, NK cells, macrophages, and plasmacytoid dendritic cells. In pembrolizumab-treated cohorts, responders exhibited higher proportions of HLA-DRA-high tumor cells and greater numbers of B cells, plasmablasts, CD4+ and CD8+ T cells, and macrophages near tumor cells. Responders’ tumors showed upregulation of antigen-presentation machinery, B-cell/plasma-cell programs, CXCL13, and NOTCH3/DLL1. Across I-SPY2 and FinXX, higher HLA-DRA correlated with pathologic complete response and improved survival. In CODEai TNBC, high HLA-DRA expression correlated with higher CXCL13 (median TPM 7.5 vs. 1.1, q&lt;0.05) and longer overall survival (24.2 vs. 18.5 months, HR 0.77, 95% CI 0.71-0.83, p&lt;0.0001). This association was TNBC-specific. High CXCL13 also predicted improved survival (26.6 vs. 16.5 months, HR 0.64, 95% CI 0.59-0.69, p&lt;0.0001). Conclusions: Tumor-cell HLA-DRA expression defines a highly organized adaptive immune niche enriched with B cells and activated T-cell populations in close proximity. Adaptive immune programs—including enhanced antigen presentation and CXCL13-mediated B-cell/plasma-cell pathways—consistently associate with improved outcomes across TNBC cohorts treated with chemotherapy and immune checkpoint blockade. Aberrant tumor-cell MHC-II expression may contribute to antitumor immunity and warrants further investigation as a potential therapeutic target. Citation Format: Yi Liu, Sachin Kumar Deshmukh, Thiti Susiriwatananont, Panuch Eiamprapaporn, Bogang Wu, Heikki Joensuu, Roberto A. Leon-Ferre, David Zahrieh, Judy C. Boughey, James Newell Ingle, Fergus J. Couch, Sharon Wu, Shipra Gandhi, Maryam Lustberg, George W. Sledge, Matthew P. Goetz, Keith L. Knutson, E Aubrey Thompson, Jodi Carter, Saranya Chumsri. Spatially resolved tumor-cell MHC class II shapes adaptive immunity and therapeutic response in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1200.

Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, yet their benefits remain limited to a subset of patients, underscoring the need for more reliable biomarkers and novel therapeutic strategies. The gut microbiome has emerged as a critical modulator of systemic immunity and a promising determinant of ICI response. Evidence links specific microbial features, taxa, and bioactive metabolites to enhanced antitumor immunity, whereas disruptions, such as antibiotic exposure, are associated with poorer outcomes. Advances in sequencing and multi-omics technologies have provided more profound insights into microbiome-immune crosstalk, though methodological heterogeneity continues to challenge reproducibility. Translational studies demonstrate that microbiome-based intervention, including fecal microbiota transplantation (FMT), biotics supplementation, and engineered microbial strains, can enhance ICI efficacy or mitigate immune-related toxicities. Despite encouraging early clinical signals, broader implementation requires methodological rigor, standardized protocols, and innovative trial designs that account for host and environmental factors. For clinicians, the most immediate strategies involve prudent antibiotic stewardship and patient enrollment in microbiome-focused clinical trials. Overall, the gut microbiome is a promising biomarker and a therapeutic target, representing a new frontier for personalizing immunotherapy and improving patient outcomes in oncology.

e12532 Background: Mini-chromosome maintenance 2 (MCM2), a protein regulating the initiation of DNA replication, is associated with a high proliferative index and worse clinical outcomes in various cancer types, including breast cancer. MCM2 expression was shown to be more sensitive than Ki-67 in predicting prognosis in lung, head and neck, and thyroid cancer. In contrast to Ki-67, MCM2 is more readily expressed and may provide better prognostic and predictive information in luminal breast cancer. This study aimed to evaluate MCM2 expression in pre-neoadjuvant chemotherapy (NACT) specimens from patients with locally advanced HR+/HER2- breast cancer and its association with tumor response and clinicopathological factors. Methods: Stage 2-3 HR+/HER2- early breast cancer patients who received NACT followed by surgery between January 1, 2015, and December 31, 2020, at KCMH were retrospectively reviewed. MCM2 antibody (rabbit polyclonal, HPA 031496, dilution 1/200, Sigma Aldrich) was used for immunostaining of pre-NACT specimens with scoring by image analysis. NACT response in surgical specimens was assessed with RCB index. The relationship of MCM2 expression with clinicopathologic factors and RCB 0/I response after NACT were evaluated with univariate and multivariate analysis. ROC analysis was performed to identify the optimum MCM2 cut-off for RCB 0/I. Results: 72 patients with locally advanced HR+/HER2- who received NACT were evaluated. The median age was 50 years (ranges 26-80), and 71% of patients had stage 3. RCB 0/I responses were observed in 5 patients (6.9%). MCM2 ≥ 40% was significantly associated with RCB 0/I (OR = 18.3, 95% CI 1.88-178.98, p = 0.012) in univariate analysis. In contrast, Ki-67 expression was not associated with RCB 0/I at any cutoff point. The mean MCM2 expression was numerically higher in patients with RCB 0/I (39.3 ± 7.5 vs. 24.6 ± 2, p = 0.06). In the ROC analysis for predicting RCB 0/I with MCM2 expression, AUC was 0.75 (95% CI 0.51-0.99, p=0.04) with the optimum cut-off of ≥40% (sensitivity 80% and specificity 82%). MCM2 expression ≥ 40% was associated with unfavorable clinical pathological features, including histologic grade 3, ER <10%, PR negativity, and Ki-67 ≥ 20%. Patients with both baseline Ki67 ≥ 20% and MCM2 ≥ 40% had a trend toward worse 1-year recurrence-free survival (98% vs. 86%, p=0.06). Conclusions: High baseline MCM2 expression (≥40%) is associated with a higher chance of achieving RCB 0/I in locally advanced HR+HER2-breast cancer, unlike Ki67. Assessing MCM2 expression may provide additional prognostic and predictive information for HR+/HER2-breast cancer patients receiving neoadjuvant chemotherapy.